• DocumentCode
    2682897
  • Title

    Association analysis techniques for analyzing complex biological data sets

  • Author

    Pandey, Gaurav ; Atluri, Gowtham ; Fang, Gang ; Gupta, Rohit ; Steinbach, Michael ; Kumar, Vipin

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2009
  • fDate
    17-21 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Association analysis is one of the most popular analysis paradigms in data mining. In this paper, we present different types of association patterns and discuss some of their applications in bioinformatics. We present a case study showing the usefulness of association analysis-based techniques for pre-processing protein interaction networks. Finally, we discuss some of the challenges that need to be addressed to make association analysis-based techniques more applicable for bioinformatics.
  • Keywords
    bioinformatics; data mining; proteins; association analysis techniques; bioinformatics; biological data sets; data mining; preprocessing protein interaction networks; Application software; Bioinformatics; Biology; Computer science; Data analysis; Data engineering; Data mining; Itemsets; Pattern analysis; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop on
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    978-1-4244-4761-9
  • Electronic_ISBN
    978-1-4244-4762-6
  • Type

    conf

  • DOI
    10.1109/GENSIPS.2009.5174378
  • Filename
    5174378
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2682897